Showing 10,301 - 10,320 results of 15,870 for search '(( six ((we decrease) OR (a decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.92s Refine Results
  1. 10301

    Data_Sheet_1_Associations and pathways between residential greenness and metabolic syndromes in Fujian Province.docx by Xiaoqing Li (186909)

    Published 2022
    “…</p>Conclusion<p>Exposure to residential greenness was associated with a decreased risk for MetS. PA, BMI, and the four air pollutants jointly interpreted nearly half of the mediation effects on the greenness-MetS association.…”
  2. 10302

    Plasticity rules. by James A. Henderson (286309)

    Published 2018
    “…When , then the non-Hebbian weight change is larger than the Hebbian weight change, so the connection strength, <i>w</i> and decrease, and vice versa when . …”
  3. 10303

    Elements of Metastatic-Primary genomic divergence and their potential pattern in tumor evolution. by Ruping Sun (10319284)

    Published 2021
    “…Under the growth pattern of progressive subclonal divergence, late seeding would lead to larger <i>B</i><sub><i>md</i></sub> than early seeding as only the early subclones are detectable; <i>B</i><sub><i>p</i></sub> stays constant as the detectable portion of the seeding cell lineage is restricted. …”
  4. 10304

    Evaluation of Meibomian gland structure and appearance after therapeutic Meibomian gland expression by Kasandra Swiderska (18937863)

    Published 2024
    “…A decrease in Meibomian gland length ratio implies that the loss of gland structure following treatment may be indicative of a temporary structural alteration.…”
  5. 10305
  6. 10306

    Supplementary Material for: Late-onset sepsis among extremely preterm infants of 24-28 weeks gestation – An international comparison in 10 high-income countries by Klinger G. (18602197)

    Published 2024
    “…Israel, Sweden and Finland showed the largest decrease in late-onset sepsis rates. The aRR’s for late-onset sepsis showed wide variations between networks. …”
  7. 10307

    Three-dimensional graphs showing the differences between the physical (m) and phylogenetic (Ma) axes for z-values that measure the significance of the NDD-influenced component or a... by Christopher Wills (266276)

    Published 2021
    “…<p>The graphs show the patterns seen around the largest quantile of focal tree sizes. Legends and surface colors as in Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008853#pcbi.1008853.g001" target="_blank">1</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008853#pcbi.1008853.g003" target="_blank">3</a>. …”
  8. 10308

    Table_3_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

    Published 2020
    “…In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF<sub>nu</sub>: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”
  9. 10309

    Table_5_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

    Published 2020
    “…In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF<sub>nu</sub>: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”
  10. 10310

    Table_4_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

    Published 2020
    “…In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF<sub>nu</sub>: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”
  11. 10311

    Table_2_The Advantage of Supine and Standing Heart Rate Variability Analysis to Assess Training Status and Performance in a Walking Ultramarathon.DOCX by Martina Anna Maggioni (8568585)

    Published 2020
    “…In finishers, a slower race velocity was significantly correlated with a higher decrease in parasympathetic drive during position change [larger decrease in High Frequency power normalized units (HF<sub>nu</sub>: r = −0.7, p = 0.01) and higher increase in the detrended fluctuation analysis alpha 1 index (DFA1: r = 0.6, p = 0.04)]. …”
  12. 10312

    These graphs display a 500 timestep segment of a sample motion time series. by Jacqueline Kory Westlund (3213978)

    Published 2015
    “…Sharp increases or decreases in motion are reflected by larger spikes, indicative of larger changes in motion across adjacent frames.…”
  13. 10313

    Stimuli by Tobias Overath (35666)

    Published 2007
    “…Entropy is largest for the top pitch sequence and decreases as exponent <i>n</i> increases.…”
  14. 10314

    Effects of resistance exercise versus combined training on post-exercise hypotension in women with metabolic syndrome by Ramires Alsamir Tibana (8977688)

    Published 2022
    “…Therefore, RE and COMB elicited post-exercise hypotension in women with MS; COMB provided a greater decrease which may be of value in the prevention and treatment of cardiovascular disorders.…”
  15. 10315

    Litterfall decomposition of coffee shaded with Tectona grandis or in full sun by Nirvani S. Henrique (10402661)

    Published 2022
    “…The experiment was conducted on a rural property in Cacoal, state of Rondônia, Brazil, in a 2 × 6 factorial scheme with two crop systems (SHCS and FSCS), and six litterfall decomposition evaluation times (0, 30, 60, 180, 300, and 360 days after the litterfall was returned to the soil (DAL)), with seven replicates. …”
  16. 10316

    Supplementary Material for: Diverging Trends in Incidence of Spontaneous Intracerebral Hemorrhage in Sweden 2010–2019: An Observational Study from the Swedish Stroke Register (Riks... by Drescher C. (13948506)

    Published 2023
    “…The proportion of OAC ICH of all first-ever ICH increased between 2010–2012 and 2017–2019 from 13.1% to 22.5% (p<0.001). Proportional changes were largest in the age group ≥85 years with a decrease in non-OAC ICH by 32% from 155 (95% CI 146–164) to 106 (95% CI 98.6–113) and an increase in OAC ICH by 155% from 25.7 (95% CI 22.1–29.4) to 65.5 (95% CI 59.9–71.2). …”
  17. 10317

    Whole Transcriptome Analysis of <i>Acinetobacter</i><i> baumannii</i> Assessed by RNA-Sequencing Reveals Different mRNA Expression Profiles in Biofilm Compared to Planktonic Cells by Soraya Rumbo-Feal (309518)

    Published 2013
    “…Disruption or deletion of five of these genes caused a significant decrease in biofilm formation ability in the corresponding mutant strains. …”
  18. 10318

    Acquisition and tracking of secretory vesicles in chromaffin cells and categorization of their motion. by Guillaume Maucort (163306)

    Published 2014
    “…<p>Chromaffin cells expressing hGH-GFP were imaged by confocal microscopy. (<b>A</b>) Six optical slices were acquired to obtain a 3 µm z-stack encompassing 20% of the total height of a chromaffin cell (<b>B</b>). …”
  19. 10319

    Recovery Trends in Marine Mammal Populations by Anna M. Magera (478098)

    Published 2013
    “…However, data-deficient populations and those with decreasing and non-significant trends require attention. …”
  20. 10320

    Erdős–Rényi (Random) Network. by Komal Batool (548006)

    Published 2014
    “…<p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0090283#pone-0090283-g002" target="_blank">Figure 2</a> represents the Erdös–Rnyi network formed with the <i>p</i> = 0.1. The network consists of a source, target and intermediate laid randomly in the network. …”