Showing 35,641 - 35,660 results of 63,267 for search '(( a ((((larger decrease) OR (mean decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 0.85s Refine Results
  1. 35641

    Image_1_Local anatomy, stimulation site, and time alter directional deep brain stimulation impedances.tiff by Joseph W. Olson (13191210)

    Published 2022
    “…Directional contacts display larger impedances than ring contacts. Impedances generally increase slightly over the first year of therapy, save for a transient decrease immediately post-surgery under general anesthesia during pulse generator placement. …”
  2. 35642

    The effect of antidepressant treatment on the HPA axis, changes in depression score and serum levels of TNF-α in depressed infertile women by SEDIGHEH KESHAVARZ (8527104)

    Published 2020
    “…Results We analyzed the data related to 55 subjects who had undergone embryo transfer. 7 subjects in the intervention group and 3 in the control group got pregnant. We observed a significant decrease in the depression score (p < 0/001) and serum levels of cortisol (p = 0/001) in the intervention group. …”
  3. 35643

    DataSheet_1_CD36 is Associated With the Development of Coronary Artery Lesions in Patients With Kawasaki Disease.docx by Mindy Ming-Huey Guo (11264691)

    Published 2022
    “…Coronary artery lesions were associated with a larger decrease of CD36 expression following IVIG therapy, which may indicate that prolonged expression of the scavenger receptor may have a protective effect against the development of coronary artery lesions in KD.…”
  4. 35644

    Fig..mw by yurou pan (21094949)

    Published 2025
    “…It can be observed that although firms believe that they can earn more profit as the upper bound of the preference increases, actually, the profit of each firm demonstrates only an initial upward trend, but this is followed by a subsequent decline.</p><p dir="ltr">Figure 2 shows that the disclosure cost decreases the probability that a firm gets benefits from overconfidence. …”
  5. 35645

    Betti curves of red pulp, white pulp, and B cells populations in the murine spleen tissue. by Maria Torras-Pérez (22439376)

    Published 2025
    “…The peaks of the curves are due to a large proportion of cells within dense regions where many small-scale loops form. …”
  6. 35646

    Should every wavelon be fully connected? by Maryam Mahsal Khan (4840008)

    Published 2018
    “…<p>Summation of wavelons’ dimensionality for individual EWNNs (over 50 independent evolutionary runs); and for the ensemble EWNN-e (over the number of active classifiers), for the three datasets (a) DDSM, (b) LPD and (c) SPD. Note the overall increasing trend for DDSM, with a larger number of high-dimensionality wavelons (except for EWNN-e which shows a decrease in the number of 6-dimensional wavelons). …”
  7. 35647

    Receptive fields of two neurons in the optic tectum. by Josine Verhaal (400568)

    Published 2013
    “…The neuron responded with a short delay to black (40 ms) and with a longer delay to white (130 ms) and therefore could be responsive to decrease in luminance. …”
  8. 35648

    The impact of social status on immune health in baboons. by Erin L. Willis (214076)

    Published 2014
    “…B) High social status animals also had a decrease number of CD4+ and CD+ 8 naïve cells compared to subordinate baboons (n = 15/group). …”
  9. 35649

    Bevacizumab prevented and restored peripheral nerve functions in diabetic rats. by Michela M. Taiana (636319)

    Published 2014
    “…<p>Control and STZ-diabetic rats were treated with bevacizumab according to the prevention (A, B, C) or therapeutic (D, E, F) schedule. (A) Bevacizumab prevented in a dose-dependent fashion thermal hypoalgesia, (B) mechanical threshold decrease and (C) nerve conduction velocity decrease in diabetic rats. …”
  10. 35650

    Data collapse of steady state behavior as function of , where is total number of hosts. by Kim Sneppen (16768)

    Published 2013
    “…B) Diversity rescaled with linear dimension of system, . One observes a transition at around to a near-saturated regime, a saturation that becomes more apparent for large system sizes. …”
  11. 35651

    Nonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite Differences by Matthew J. Heaton (660895)

    Published 2019
    “…To perform computationally feasible inference for large spatial data, we consider partitioning a spatial region into disjoint sets using hierarchical clustering of observations and finite differences as a measure of dissimilarity. …”
  12. 35652

    Plots of T-cell, Virus, and Effector populations with changes in regulatory T-cell parameters. by Michael Simonov (325702)

    Published 2013
    “…T-cell and viral load plots appear similar although it is seen that large values of result in a sharp decrease in effector population during acute infection. …”
  13. 35653

    Modeling metastasis formation process and its bottleneck. by Ewa Szczurek (543794)

    Published 2020
    “…The initiated metastases grow on average <i>δ</i><sub>1</sub> years to become large enough to be detectable by screening. With a certain probability, decreasing with metastasis age, and parametrized by the expected age <i>a</i> when metastases become irremovable, treatment may remove metastasis. …”
  14. 35654

    Additional file 2: of Implications of reconstruction protocol for histo-biological characterisation of breast cancers using FDG-PET radiomics by Nicolas Aide (3106083)

    Published 2018
    “…Left panels display the mean decrease accuracy of textural features values and right panels display Spearman correlation matrixes of all PET metrics found to have positive mean decrease accuracy as well as SUVmax and coarseness for PSFwholeBody after a 2mm3 voxels resampling (a) and PSFbreast after a 4mm3 voxels resampling (b) reconstructions. …”
  15. 35655

    Impacts of the epistatic interactions among TEs’ deleterious effects on TEs’ population dynamics. by Jae Young Choi (145281)

    Published 2020
    “…Multiplicative model: The deleterious effects of TEs weaken with each additional TE in a host genome (blue in A), and the rate of fitness change decreases with increased TE copy number (slope of blue line in A). …”
  16. 35656

    The MXR-MPH applied to white noise stimuli and spike-time-jitter. by Sepp Kollmorgen (248487)

    Published 2014
    “…(G) We assessed the influence of different non-linearities (labeled A–E, ordered by steepness) on prediction quality for both the MPH as well as the cascaded MPH (cMPH). …”
  17. 35657

    Breakdown of trunk to leg volume ratio by its major components. by Joseph P. Wilson (432646)

    Published 2013
    “…There is an overall decrease in leg volume primarily driven by a decrease in leg fat mass. …”
  18. 35658

    Loss of <i>Lmx1b</i> alters the size of the FP, the mDA progenitor domain, and ventral midbrain patterning. by Angela Anderegg (496917)

    Published 2013
    “…(N–T) In 13.5 dpc <i>En1::Cre;Lmx1bcKO</i> embryos we found a nearly complete loss of Islet+ oculomotor neurons (n = 3; control mean = 223.11±16.42, mutant mean = 0.33±0.33; p-value = .0002), a 39% decrease in Brn3a+ red nucleus neurons (n = 3; control mean = 752.22±82.42, mutant mean = 455.78±10.56; p-value = .02), and a 68% decrease in Lmx1a+ mDA lineage cells (n = 3; control mean = 951.33±10.63, mutant mean = 308.89±18.99; p-value = 7.84E = 06). …”
  19. 35659

    Effect of density on individual lionfish growth rates. by Cassandra E. Benkwitt (426371)

    Published 2013
    “…<p>Invasive lionfish growth rate in (A) length (mm/day) decreased linearly with increasing density throughout the 8-week experiment, while lionfish growth rate in (B) mass (mg/day) decreased exponentially. …”
  20. 35660

    Computation of function <i>H</i> to measure the correlation between physical organization (IPD) and network activity (Φ). by K. Venkatesan Iyer (130871)

    Published 2012
    “…<b>Inset</b> shows deviations Δ<i>H</i><sup>cell</sup> of <i>H</i><sup>cell</sup><sub>0</sub> from average random <i>H</i><sup>cell</sup><sub>av</sub> measured in units of standard deviation <i>σ</i> (<b>C, D</b>) Differential changes in the evolution of H value for individual TFNs (c-increase, d-decrease). (<b>E</b>) Selected TFNs which show large increase and decrease in H-value. …”