Showing 13,181 - 13,200 results of 76,076 for search '(( 2 we decrease ) OR ( 100 ((((mean decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 1.37s Refine Results
  1. 13181

    Image 1_StACS3-mediated drought stress adaptation in potato involves interactions with StPP2C2 and St14-3-3 proteins.tiff by Sadia Hamera (22524803)

    Published 2025
    “…Mutation and co-expression analysis support the formation of StACS3-StPP2C2 complexes, and silencing StPP2C2 increases StACS3 accumulation and alters its subcellular localization, demonstrating an antagonistic interplay between degradation and stabilization pathways. …”
  2. 13182

    Comparison of CBVs in different brain regions of WT and Katnal2-KO mice. by Ryeonghwa Kang (6793046)

    Published 2024
    “…<p>(A) Comparisons of cerebral blood volumes (CBVs) in WT and Katnal2-KO brains, as shown by the extents of decreases in fMRI signals induced by hypoxic nitrogen stimulus in different brain regions (left, relative CBVs) and the KO values normalized to WT values (right, %WT). …”
  3. 13183

    Data_Sheet_2_Influence of Protein Glycosylation on Campylobacter fetus Physiology.PDF by Justin Duma (5783912)

    Published 2020
    “…Using label-free quantitative (LFQ) proteomics, we found more than 100 proteins significantly altered in expression in two C. fetus subsp. fetus protein glycosylation (pgl) mutants (pglX and pglJ) compared to the wild-type. …”
  4. 13184
  5. 13185

    Activation of GSK3β by Sirt2 Is Required for Early Lineage Commitment of Mouse Embryonic Stem Cell by Xiaoxing Si (421737)

    Published 2013
    “…However, its role in embryonic stem cells (ESCs) remains unclear. Here we demonstrate that Sirt2 is up-regulated during RA (retinoic acid)-induced and embryoid body (EB) differentiation of mouse ESCs. …”
  6. 13186

    Table_2_Weight loss improves β-cell function independently of dietary carbohydrate restriction in people with type 2 diabetes: A 6-week randomized controlled trial.PDF by Mads N. Thomsen (13270053)

    Published 2022
    “…</p>Methods<p>In order to determine the additional effect of carbohydrate restriction in addition to a fixed body weight loss, we randomly assigned 72 adults with T2D and obesity (mean ± SD HbA<sub>1c</sub> 7.4 ± 0.7%, BMI 33 ± 5 kg/m<sup>2</sup>) to a carbohydrate-reduced high-protein diet (CRHP; energy percent from carbohydrate/protein/fat: 30/30/40) or an isocaloric conventional diabetes diet (CD; 50/17/33) for 6 weeks. …”
  7. 13187

    Image_1_Astroglial Ca2+-Dependent Hyperexcitability Requires P2Y1 Purinergic Receptors and Pannexin-1 Channel Activation in a Chronic Model of Epilepsy.TIFF by Mario Wellmann (6004034)

    Published 2018
    “…P2Y<sub>1</sub>R blockade with MRS2179 decreased the mean duration of astroglial Ca<sup>2+</sup> oscillations by reducing the frequency of slow Ca<sup>2+</sup> transients, and thereby restoring the balance between slow (ST) and fast transients (FT) in the kindled group. …”
  8. 13188

    Density test. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  9. 13189

    Economic outcome: Real estate investment. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  10. 13190

    Mechanism: Income effect. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  11. 13191

    Event study. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  12. 13192

    RDD. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  13. 13193

    Placebo test. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  14. 13194

    Summary statistics. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  15. 13195

    Social outcome: Happiness. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  16. 13196

    RDD estimation. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  17. 13197

    Event timeline. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  18. 13198

    Mechanism: Caring effect. by Jinghong Zhou (1860979)

    Published 2023
    “…Although aging population is negatively correlated with the digitization level of inclusive finance, our empirical analysis reveals that the policy shock significantly increased the digitization level of inclusive finance among the aging population. We also find two opposite mechanisms: the income effect and the caring effect. …”
  19. 13199

    Tellurite Adsorption onto Bacterial Surfaces by Jennifer L. Goff (11153519)

    Published 2021
    “…Tellurium (Te) is an emerging contaminant and its chemical transformation in the environment is strongly influenced by microbial processes. In this study, we investigated the adsorption of tellurite [Te­(IV), TeO<sub>3</sub><sup>2–</sup>] onto the common soil bacterium <i>Bacillus subtilis</i>. …”
  20. 13200

    Tellurite Adsorption onto Bacterial Surfaces by Jennifer L. Goff (11153519)

    Published 2021
    “…Tellurium (Te) is an emerging contaminant and its chemical transformation in the environment is strongly influenced by microbial processes. In this study, we investigated the adsorption of tellurite [Te­(IV), TeO<sub>3</sub><sup>2–</sup>] onto the common soil bacterium <i>Bacillus subtilis</i>. …”