Showing 101,401 - 101,420 results of 152,650 for search '(( a we decrease ) OR ( 5 ((step decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.17s Refine Results
  1. 101401

    Table1_Echocardiography-guided percutaneous intramyocardial alginate hydrogel implants for heart failure: canine models with 6-month outcomes.docx by Hui Ma (290168)

    Published 2024
    “…Compared with controls at 6-month, PIMAHI group significantly increased LVFW thickness (8.5 ± 0.3 vs. 6.8 ± 0.2 mm, p = 0.002) and IVS (7.9 ± 0.1 vs. 6.1 ± 0.2 mm, p < 0.001); decreased LVEDV (30.1 ± 1.6 vs. 38.9 ± 4.5 ml, p = 0.049) and ESV (17.3 ± 1.2 vs. 28.7 ± 3.6 ml, p = 0.004); increased LV systolic function (42.7 ± 1.5 vs. 26.7 ± 1.1% in EF, p = 0.001); and enhanced LV myocardial contractility including GLS (13.5 ± 0.8 vs. 8.4 ± 0.6%, p = 0.002), GCS (16.5 ± 1.4 vs. 9.2 ± 0.6%, p = 0.001), and MAD (11.4 ± 3.5vs 4.6 ± 2.5 mm, p = 0.003). …”
  2. 101402

    Lhx1 controls the differential expression of Dab1 in LMC neurons. by Elena Palmesino (179868)

    Published 2010
    “…<p>(A–N) e12.5 lumbar spinal cord Dab1 protein (A–H) and mRNA (I–N) expression in LMCl (Isl1<sup>−</sup> Foxp1<sup>+</sup>) is decreased in <i>Lhx1<sup>COND</sup></i> mutants (E–H, L–N) compared to control embryos (A–D, I–K). …”
  3. 101403

    Additional file 2 of Evobrutinib mitigates neuroinflammation after ischemic stroke by targeting M1 microglial polarization via the TLR4/Myd88/NF-κB pathway by Yixiang Jiang (2580220)

    Published 2025
    “…Statistical analysis revealed no significant differences in CD80+ expression between MCAO and Evobrutinib group while the expression of MHCII+ microglia decreased in Evobrutinib group compared to MCAO. Mean±SEM, n=5, one-way ANOVA, vs sham: * P < 0.05; MCAO vs Evobrutinib, ### P< 0.001,ns: no significance.…”
  4. 101404

    Excess risk of all-cause mortality attributed to the BMI not explained by the baseline comorbidities (residual risk) after adjusting for baseline mortality risk. by Jia Li (160557)

    Published 2021
    “…The dots represent the point estimates of the mortality rate in the 200 bootstrap iterations, circles are the mean, the solid line is a smooth curve representing the averages and the dashed lines are the 95% empirical confidence interval. …”
  5. 101405

    <i>Cited1</i> Deficiency Suppresses Intestinal Tumorigenesis by Valérie Méniel (440547)

    Published 2013
    “…<i>Cited1</i> deficiency decreases intestinal tumourigenesis in <i>Apc<sup>Min/+</sup></i> mice and impacts upon a number of oncogenic signaling pathways, including Wnt. …”
  6. 101406

    Data_Sheet_1_Trends and climate response in the yield of staple crops across Northeast China.docx by Dengpan Xiao (11843696)

    Published 2024
    “…Changes in temperature, precipitation and solar radiation jointly decreased Ys (Yc) of maize and soybean by 1.3% (0.7%) and 0.3% (1.1%), respectively, however increased Ys (Yc) of rice by 1.2% (2.2%), with a large spatial difference. …”
  7. 101407

    Presentation_1_Longitudinal High-Throughput Sequencing of the T-Cell Receptor Repertoire Reveals Dynamic Change and Prognostic Significance of Peripheral Blood TCR Diversity in Met... by Yi-Tung Chen (6743102)

    Published 2022
    “…Herein, we comprehensively profile 103 peripheral blood samples from 20 healthy controls and 16 CRC patients with a follow-up of 98 to 452 days to identify hypervariable rearrangements of the TCRα and TCRβ repertoires using high-throughput sequencing. …”
  8. 101408

    DataSheet_1_Epidemiology of turbot bacterial diseases in China between October 2016 and December 2019.xlsx by Ye Gao (338234)

    Published 2023
    “…Vibrio anguillarum was isolated in nine cases (5.81%), and Streptococcus parauberis in five cases (3.23%). …”
  9. 101409

    Table_2_Longitudinal High-Throughput Sequencing of the T-Cell Receptor Repertoire Reveals Dynamic Change and Prognostic Significance of Peripheral Blood TCR Diversity in Metastatic... by Yi-Tung Chen (6743102)

    Published 2022
    “…Herein, we comprehensively profile 103 peripheral blood samples from 20 healthy controls and 16 CRC patients with a follow-up of 98 to 452 days to identify hypervariable rearrangements of the TCRα and TCRβ repertoires using high-throughput sequencing. …”
  10. 101410

    Data_Sheet_1_G721-0282 Exerts Anxiolytic-Like Effects on Chronic Unpredictable Mild Stress in Mice Through Inhibition of Chitinase-3-Like 1-Mediated Neuroinflammation.DOCX by Hyeon Joo Ham (7623410)

    Published 2022
    “…In the present study, we investigated the anxiolytic-like effect of N-Allyl-2-[(6-butyl-1,3-dimethyl-2,4-dioxo-1,2,3,4-tetrahydropyrido[2,3-d]pyrimidin-5-yl)sulfanyl]acetamide (G721-0282), an inhibitor of CHI3L1, on mice treated with chronic unpredictable mild stress (CUMS), as well as the mechanism of its action. …”
  11. 101411

    Data_Sheet_2_Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis.docx by Su Liu (1965895)

    Published 2022
    “…Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). …”
  12. 101412

    Data_Sheet_3_Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis.docx by Su Liu (1965895)

    Published 2022
    “…Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). …”
  13. 101413

    Data_Sheet_1_Analysis of gut microbiome composition, function, and phenotype in patients with osteoarthritis.xlsx by Su Liu (1965895)

    Published 2022
    “…Prevotella could distinguish between OA patients and healthy people with a better diagnostic power (AUC = 77.5%, p < 0.001, 95% CI: 66.9–88.1%). …”
  14. 101414

    Table_4_Longitudinal High-Throughput Sequencing of the T-Cell Receptor Repertoire Reveals Dynamic Change and Prognostic Significance of Peripheral Blood TCR Diversity in Metastatic... by Yi-Tung Chen (6743102)

    Published 2022
    “…Herein, we comprehensively profile 103 peripheral blood samples from 20 healthy controls and 16 CRC patients with a follow-up of 98 to 452 days to identify hypervariable rearrangements of the TCRα and TCRβ repertoires using high-throughput sequencing. …”
  15. 101415

    Table_1_Longitudinal High-Throughput Sequencing of the T-Cell Receptor Repertoire Reveals Dynamic Change and Prognostic Significance of Peripheral Blood TCR Diversity in Metastatic... by Yi-Tung Chen (6743102)

    Published 2022
    “…Herein, we comprehensively profile 103 peripheral blood samples from 20 healthy controls and 16 CRC patients with a follow-up of 98 to 452 days to identify hypervariable rearrangements of the TCRα and TCRβ repertoires using high-throughput sequencing. …”
  16. 101416

    Table_3_Longitudinal High-Throughput Sequencing of the T-Cell Receptor Repertoire Reveals Dynamic Change and Prognostic Significance of Peripheral Blood TCR Diversity in Metastatic... by Yi-Tung Chen (6743102)

    Published 2022
    “…Herein, we comprehensively profile 103 peripheral blood samples from 20 healthy controls and 16 CRC patients with a follow-up of 98 to 452 days to identify hypervariable rearrangements of the TCRα and TCRβ repertoires using high-throughput sequencing. …”
  17. 101417

    SETX (senataxin), the helicase mutated in AOA2 and ALS4, functions in autophagy regulation by Patricia Richard (1341333)

    Published 2021
    “…</p> <p><b>Abbreviations:</b> 3ʹREADS: 3ʹ region extraction and deep sequencing; ACTB: actin beta; ALS4: amyotrophic lateral sclerosis type 4; AOA2: ataxia with oculomotor apraxia type 2; APA: alternative polyadenylation; AS: alternative splicing; ATG7: autophagy-related 7; ATP6V0D2: ATPase H+ transporting V0 subunit D2; BAF: bafilomycin A<sub>1</sub>; BECN1: beclin 1; ChIP: chromatin IP; Chloro: chloroquine; CPT: camptothecin; DDR: DNA damage response; DNMT1: DNA methyltransferase 1; DRIP: DNA/RNA IP; DSBs: double strand breaks; EBs: embryoid bodies; FTD: frontotemporal dementia; GABARAP: GABA type A receptor-associated protein; GO: gene ontology; HR: homologous recombination; HTT: huntingtin; IF: immunofluorescence; IP: immunoprecipitation; iPSCs: induced pluripotent stem cells; KD: knockdown; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MN: motor neuron; MTORC1: mechanistic target of rapamycin kinase complex 1; PASS: PolyA Site Supporting; PFA: paraformaldehyde; RNAPII: RNA polymerase II; SCA: spinocerebellar ataxia; SETX: senataxin; SMA: spinal muscular atrophy; SMN1: survival of motor neuron 1, telomeric; SQSTM1/p62: sequestosome 1; TFEB: transcription factor EB; TSS: transcription start site; TTS: transcription termination site; ULK1: unc-51 like autophagy activating kinase 1; WB: western blot; WIPI2: WD repeat domain, phosphoinositide interacting 2; XRN2: 5ʹ-3ʹ exoribonuclease 2.…”
  18. 101418

    Understanding Spatio-Temporal Variability in the Reproduction Ratio of the Bluetongue (BTV-1) Epidemic in Southern Spain (Andalusia) in 2007 Using Epidemic Trees by S. Napp (2559307)

    Published 2016
    “…Here we apply a method using epidemic trees to estimate the between-herd case reproduction ratio directly from epidemic data allowing the spatial and temporal variability in transmission to be described. …”
  19. 101419
  20. 101420

    Association of favipiravir with outcomes. by Martin Modrák (5101439)

    Published 2021
    “…The “Suspicious” section shows models that were found to not fit the data well or have computational issues—see supplementary statistical analysis for details. Each row represents a model—Categorical All/7/28 = Bayesian categorical regression for state at last observed day/day 7/day 28, Binary All/7/28 = Bayesian logistic regression for state at last observed day/day 7/day 28, Bayes Cox = Bayesian version of the Cox proportional hazards model with a binary outcome, Cox (single) = frequentist Cox model with a binary outcome, Cox (competing) = frequentist Cox model using competing risks (as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1a</a>), HMM A = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for rate groups, HMM B = Bayesian hidden-markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1b</a> with predictors for individual rates, HMM C = Bayesian hidden-Markov model as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0245103#pone.0245103.g001" target="_blank">Fig 1c</a>. …”