Showing 17,441 - 17,460 results of 60,573 for search '(( 5 ((we decrease) OR (nn decrease)) ) OR ( 50 ((a decrease) OR (mean decrease)) ))', query time: 0.84s Refine Results
  1. 17441

    Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

    Published 2024
    “…The investigation focuses on two types of microtextured surfaces with totally different surface peak–valley features: a negatively skewed surface with micropit arrays (<i>Ssk</i> < 0) and a positively skewed surface with micropillar arrays (<i>Ssk</i> > 0). …”
  2. 17442

    Freelisting data. by Tshering Dorji (647426)

    Published 2023
    “…A small proportion of respondents (1.5%) were concerned about the grazing habitat of the yaks due to the change in the botanical composition of the rangeland. …”
  3. 17443

    Discrete outcome definitions. by Jesse M. Charlton (5495855)

    Published 2024
    “…<div><p>Pain changes how we move, but it is often confounded by other factors due to disease or injury. …”
  4. 17444

    Survey data. by Tshering Dorji (647426)

    Published 2023
    “…A small proportion of respondents (1.5%) were concerned about the grazing habitat of the yaks due to the change in the botanical composition of the rangeland. …”
  5. 17445

    Available data. by Naomi Muinga (11474744)

    Published 2023
    “…The percentage of patients in the no-monitoring category decreased from 68.5% to 43.5% in the post-intervention period for TPRS monitoring. …”
  6. 17446

    Fig 3 - by Tshering Dorji (647426)

    Published 2023
    “…A small proportion of respondents (1.5%) were concerned about the grazing habitat of the yaks due to the change in the botanical composition of the rangeland. …”
  7. 17447

    Data_Sheet_1_Estimation of the economic impact of a bluetongue serotype 4 outbreak in Tunisia.docx by Ameni Ben Salem (18073126)

    Published 2024
    “…In cattle, exposure to BTV led to a daily unit milk yield decrease of 12.50 to 14.66 L over an average period of 5 months. …”
  8. 17448

    Presentation_1_mRNA vaccines against SARS-CoV-2 induce comparably low long-term IgG Fc galactosylation and sialylation levels but increasing long-term IgG4 responses compared to an... by Jana Sophia Buhre (12295230)

    Published 2023
    “…</p>Results<p>We show that the initially high mRNA vaccine-induced blood and salivary anti-S IgG levels, particularly IgG1, markedly decrease over time and approach the lower levels induced with the adenovirus-based vaccine. …”
  9. 17449

    Flow chart of exclusions. by Kimberly J. Johnson (4281190)

    Published 2024
    “…Among 79,983 women, those 60–69 had significantly higher odds of any return screening encounter during 2020–2022 (OR = 1.28), while those ≥80 and 40–49 had significantly lower odds (ORs 0.77, 0.45) than those 50–59 years old. A sensitivity analysis suggested a possible pre-existing pattern.…”
  10. 17450

    Straightforward and Ultrastable Surface Modification of Microfluidic Chips with Norepinephrine Bitartrate Improves Performance in Immunoassays by Haiying Shen (4906882)

    Published 2018
    “…Surface modification is stable for at least 2.5 years, allowing for autoinjection of aqueous solution into the channels. …”
  11. 17451

    Artificial enhancer constructs reveal a tandem-<i>like</i> structure. by Maximilian Haeussler (86348)

    Published 2010
    “…(F) Introduction of spacer regions of 25/50/75/150 bp between the two D1(ab) fragments strongly decreased the activity of the tandem constructs. …”
  12. 17452

    <i>Hnrnph1</i> Is A Quantitative Trait Gene for Methamphetamine Sensitivity by Neema Yazdani (835533)

    Published 2015
    “…We used interval-specific congenic mouse lines carrying various segments of chromosome 11 from the DBA/2J strain on an isogenic C57BL/6J background to positionally clone a 206 kb QTL (50,185,512–50,391,845 bp) that was causally associated with a reduction in the locomotor stimulant response to methamphetamine (2 mg/kg, i.p.; DBA/2J < C57BL/6J)—a non-contingent, drug-induced behavior that is associated with stimulation of the dopaminergic reward circuitry. …”
  13. 17453

    Tuning the Performance of Metalloporphyrin-Based Pressure-Sensitive Paints through the Nature of the Central Metal Ion by Elliott J. Nunn (20445750)

    Published 2024
    “…This new insight into luminophore design can be used to optimize PSPs for a desired application.…”
  14. 17454

    Tuning the Performance of Metalloporphyrin-Based Pressure-Sensitive Paints through the Nature of the Central Metal Ion by Elliott J. Nunn (20445750)

    Published 2024
    “…This new insight into luminophore design can be used to optimize PSPs for a desired application.…”
  15. 17455

    Tuning the Performance of Metalloporphyrin-Based Pressure-Sensitive Paints through the Nature of the Central Metal Ion by Elliott J. Nunn (20445750)

    Published 2024
    “…This new insight into luminophore design can be used to optimize PSPs for a desired application.…”
  16. 17456
  17. 17457
  18. 17458

    Structure diagram of ensemble model. by Hongqi Wang (2208238)

    Published 2024
    “…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”
  19. 17459

    Synonymous Co-Variation across the E1/E2 Gene Junction of Hepatitis C Virus Defines Virion Fitness by Brendan A. Palmer (3361331)

    Published 2016
    “…Overtime, the number of codons actively mutating decreases for all virus groupings. We identify strong synonymous co-variation between codon sites in a group of sequences harbouring a 3 bp in-frame insertion and propose that synonymous mutation acts to stabilize the RNA structural backbone.…”
  20. 17460

    Fitting formula parameter table. by Hongqi Wang (2208238)

    Published 2024
    “…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”