Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
17 decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
17 decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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18301
Table 7_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis...
Published 2024“…On multivariable analysis of donkeys, decreased odds of seropositivity were demonstrated amongst donkeys owned by households which also owned horses (OR = 0.23 95% CI 0.06–0.85, p = 0.03). …”
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18302
Table 4_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18303
Table 2_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18304
Table 5_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18305
Table 6_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18306
Table 1_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18307
Table 3_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx
Published 2025“…On day 1, several lymphocyte subsets were significantly altered in the AKI group, including increased CD4<sup>+</sup>CD38<sup>+</sup>T%, CD8<sup>+</sup>CD38<sup>+</sup>T%, CD155<sup>+</sup>T%, CD4<sup>+</sup>TeM<sup>+</sup>T%, CD8<sup>+</sup>TIGIT<sup>+</sup>T%, and M-MDSC, and decreased CD4<sup>+</sup>LAG3<sup>+</sup>T%, CD4<sup>+</sup>TN<sup>+</sup>T%, and Th17 cells. …”
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18308
H2AK119ub is bidirectionally dynamic within cis-regulatory elements during neurodevelopment.
Published 2025“…<b>(B)</b> Volcano plot depicting H2AK119ub abundance, as detected in normalized CUT&RUN data from early and late cerebellum, within SEACR-defined consensus peak regions. The significance threshold was a false-discovery rate <0.05, as defined by DiffBind [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011843#pgen.1011843.ref065" target="_blank">65</a>] (n = 4). …”
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18309
<i>Irresistible</i><sup><i>p173</i></sup> is an allele of the Cadherin-encoding gene <i>cdh16.</i>
Published 2025“…<b>(G)</b> <i>cdh16</i><sup><i>p173</i></sup>/<i>cdh16</i><sup><i>co79</i></sup> transheterozygotes (<i>n</i> = 19) have significantly lower habituation percentages <i>p</i> < 0.0001 compared to wild types (<i>n</i> = 17), <i>cdh16</i><sup><i>co79</i></sup> heterozygotes (<i>n</i> = 10), and <i>cdh16</i><sup><i>p173</i></sup> heterozygotes (<i>n</i> = 25). …”
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18310
Supplementary Tables 1-7 from Androgen Receptor Inhibition Increases MHC Class I Expression and Improves Immune Response in Prostate Cancer
Published 2025“…<p>Table S1: List of top 20 significant (p< 0.05) genes from a whole-genome CRISPRi FACS-based screen which increased or decreased MHC Class I expression upon knockdown. …”
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18311
Supplementary Tables 1-7 from Androgen Receptor Inhibition Increases MHC Class I Expression and Improves Immune Response in Prostate Cancer
Published 2025“…<p>Table S1: List of top 20 significant (p< 0.05) genes from a whole-genome CRISPRi FACS-based screen which increased or decreased MHC Class I expression upon knockdown. …”
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18312
Data Sheet 1_Silicon (Si) foliar treatment modulates Capsicum annuum L. (green chilli) growth and stress responses under cadmium and lead stress.docx
Published 2025“…At 25 mg kg<sup>−1</sup> soil Cd and Pb, Si significantly (p ≤ 0.05) improved the root length (17% and 24%), root biomass (23% and 27%), and carotenoids (16% and 19%) of chilli plants compared to control plants. …”
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18313
This is raw data of IL-1β ELISA.
Published 2025“…IFN-β in contrast to Vit D decreased <i><i>Gal-9</i></i> gene expression. <i>β-<i>catenin</i></i> gene expression increased after IFN-β or Vit D treatment. …”
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18314
This is raw data of IL-10 real-time PCR.
Published 2025“…IFN-β in contrast to Vit D decreased <i><i>Gal-9</i></i> gene expression. <i>β-<i>catenin</i></i> gene expression increased after IFN-β or Vit D treatment. …”
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18315
This is raw data of Gal-9 real-time PCR.
Published 2025“…IFN-β in contrast to Vit D decreased <i><i>Gal-9</i></i> gene expression. <i>β-<i>catenin</i></i> gene expression increased after IFN-β or Vit D treatment. …”
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18316
This is raw data of IL-10 ELISA.
Published 2025“…IFN-β in contrast to Vit D decreased <i><i>Gal-9</i></i> gene expression. <i>β-<i>catenin</i></i> gene expression increased after IFN-β or Vit D treatment. …”
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18317
Lomie district map.
Published 2024“…The prevalence trend slightly decreased between 1987 and 2010 (~8%) and remained unchanged since 2010 (<i>p-value</i> = 0.05). …”
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18318
Fuzzy PID control block diagram.
Published 2025“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”
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18319
This is raw data of NF-κB real-time PCR.
Published 2025“…IFN-β in contrast to Vit D decreased <i><i>Gal-9</i></i> gene expression. <i>β-<i>catenin</i></i> gene expression increased after IFN-β or Vit D treatment. …”
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18320
Parameter optimal analysis.
Published 2025“…The results demonstrate that the self-correcting fuzzy PID control significantly optimizes key performance metrics: overshoot (reduced by 21.3%), settling time (shortened by 34.7%), and steady-rate error (decreased by 18.9%), outperforming both traditional PID and fuzzy PID methods in concentration and pH regulation. …”