Showing 38,681 - 38,700 results of 38,736 for search '(((( 5 step decrease ) OR ( 2 e decrease ))) OR ( 50 ((nn decrease) OR (a decrease)) ))', query time: 0.88s Refine Results
  1. 38681
  2. 38682

    Video 1_The contribution of personalized video feedback to robotic partial nephrectomy training in realistic 3D tumor kidney models: design, production and implementation.mp4 by Ahmet Furkan Sarıkaya (21731246)

    Published 2025
    “…The amount of healthy renal parenchyma removed significantly decreased in the video feedback group (p = 0.048), indicating improved surgical precision. …”
  3. 38683

    Applications of Human Biostasis in Crewed Space Exploration by Josh Universe (21186797)

    Published 2025
    “…NASA's STASH program and ESA's hibernation research mark essential steps forward in torpor research, indicating growing institutional support for these technologies.…”
  4. 38684

    LncRNAs are components of MITF-SOX10 networks in melanoma. by Elizabeth A. Coe (8195508)

    Published 2019
    “…Differences between groups were tested using a two-tailed Mann-Whitney <i>U</i> test, and <i>p</i> values are indicated. …”
  5. 38685
  6. 38686

    DataSheet1_Active Peptide AR-9 From Eupolyphaga sinensis Reduces Blood Lipid and Hepatic Lipid Accumulation by Restoring Gut Flora and Its Metabolites in a High Fat Diet–Induced Hy... by Hong Wang (13528)

    Published 2022
    “…In this study, we aimed to isolate an active peptide (AR-9) from active peptides of E. sinensis (APE) and determine whether AR-9 could improve many symptoms of a HL rat induced by a high-fat diet (HFD) by modulating gut flora and its metabolites. …”
  7. 38687

    Cluster stability over time. by Daniel Verdear (21740179)

    Published 2025
    “…On the other hand, Twitter stability gradually decreases as moderation removes nodes from the graph.…”
  8. 38688

    PALS-25(Q293*) protein is not physically associated with PALS-22 protein. by Spencer S. Gang (13899687)

    Published 2022
    “…<b>E)</b> Yeast two-hybrid analysis of PALS-25(WT) and PALS-25(Q293*) baits with interacting prey proteins from a proteome-wide screen. …”
  9. 38689

    C2CD3 is crucial for the localization of the LDR and DISCO complexes. by Eloïse Bertiaux (5309927)

    Published 2025
    “…<p><b>(A)</b> Expanded centrioles from control (siCTRL) and C2CD3-depleted (siC2CD3) cells stained for C2CD3 (green) and tubulin (magenta). …”
  10. 38690

    Treatment with a fecal microbiota transplant following spinal cord injury reduced anxiety-like behaviour. by Emma K. A. Schmidt (8307642)

    Published 2020
    “…Although not significant, SCI rats also displayed a reduced percentage of open arm entries compared to sham (p = 0.1352) and SCI-FMT rats (p = 0.0909). <b>(E)</b> 4 weeks after injury, rats were tested in the light-dark box with increased time and reduced latency to enter the light component indicating decreased anxiety-like behaviour. …”
  11. 38691

    Table 4_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx by Leyi Wang (408009)

    Published 2025
    “…A predictive model incorporating key clinical (APACHE II and creatinine) and lymphocyte subsets (CD15<sup>+</sup>T%_1<sup>st</sup>, CD4<sup>+</sup>LAG3<sup>+</sup>T%_1<sup>st</sup>, Th17_1<sup>st</sup>, CD8<sup>+</sup>PD1<sup>+</sup>T%_3<sup>rd</sup>, CD8<sup>+</sup>TIGIT<sup>+</sup>T%_3<sup>rd</sup>, E_MDSC_3<sup>rd</sup>, CD8<sup>+</sup>CCR7<sup>+</sup>CD45RA<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>CTLA4<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>TIM3<sup>+</sup>T%_3<sup>rd</sup>, PMN_MDSC_3<sup>rd</sup>, and M_MDSC_3<sup>rd</sup>) achieved high accuracy, with an AUC of 0.989 in the training set, 0.895 in the validation set, and 0.906 in the test set. …”
  12. 38692

    Table 5_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx by Leyi Wang (408009)

    Published 2025
    “…A predictive model incorporating key clinical (APACHE II and creatinine) and lymphocyte subsets (CD15<sup>+</sup>T%_1<sup>st</sup>, CD4<sup>+</sup>LAG3<sup>+</sup>T%_1<sup>st</sup>, Th17_1<sup>st</sup>, CD8<sup>+</sup>PD1<sup>+</sup>T%_3<sup>rd</sup>, CD8<sup>+</sup>TIGIT<sup>+</sup>T%_3<sup>rd</sup>, E_MDSC_3<sup>rd</sup>, CD8<sup>+</sup>CCR7<sup>+</sup>CD45RA<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>CTLA4<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>TIM3<sup>+</sup>T%_3<sup>rd</sup>, PMN_MDSC_3<sup>rd</sup>, and M_MDSC_3<sup>rd</sup>) achieved high accuracy, with an AUC of 0.989 in the training set, 0.895 in the validation set, and 0.906 in the test set. …”
  13. 38693

    Table 6_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx by Leyi Wang (408009)

    Published 2025
    “…A predictive model incorporating key clinical (APACHE II and creatinine) and lymphocyte subsets (CD15<sup>+</sup>T%_1<sup>st</sup>, CD4<sup>+</sup>LAG3<sup>+</sup>T%_1<sup>st</sup>, Th17_1<sup>st</sup>, CD8<sup>+</sup>PD1<sup>+</sup>T%_3<sup>rd</sup>, CD8<sup>+</sup>TIGIT<sup>+</sup>T%_3<sup>rd</sup>, E_MDSC_3<sup>rd</sup>, CD8<sup>+</sup>CCR7<sup>+</sup>CD45RA<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>CTLA4<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>TIM3<sup>+</sup>T%_3<sup>rd</sup>, PMN_MDSC_3<sup>rd</sup>, and M_MDSC_3<sup>rd</sup>) achieved high accuracy, with an AUC of 0.989 in the training set, 0.895 in the validation set, and 0.906 in the test set. …”
  14. 38694

    Table 1_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx by Leyi Wang (408009)

    Published 2025
    “…A predictive model incorporating key clinical (APACHE II and creatinine) and lymphocyte subsets (CD15<sup>+</sup>T%_1<sup>st</sup>, CD4<sup>+</sup>LAG3<sup>+</sup>T%_1<sup>st</sup>, Th17_1<sup>st</sup>, CD8<sup>+</sup>PD1<sup>+</sup>T%_3<sup>rd</sup>, CD8<sup>+</sup>TIGIT<sup>+</sup>T%_3<sup>rd</sup>, E_MDSC_3<sup>rd</sup>, CD8<sup>+</sup>CCR7<sup>+</sup>CD45RA<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>CTLA4<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>TIM3<sup>+</sup>T%_3<sup>rd</sup>, PMN_MDSC_3<sup>rd</sup>, and M_MDSC_3<sup>rd</sup>) achieved high accuracy, with an AUC of 0.989 in the training set, 0.895 in the validation set, and 0.906 in the test set. …”
  15. 38695

    Table 3_Establishment and validation of the prediction model based on lymphocyte subsets for acute kidney injury in sepsis patients.docx by Leyi Wang (408009)

    Published 2025
    “…A predictive model incorporating key clinical (APACHE II and creatinine) and lymphocyte subsets (CD15<sup>+</sup>T%_1<sup>st</sup>, CD4<sup>+</sup>LAG3<sup>+</sup>T%_1<sup>st</sup>, Th17_1<sup>st</sup>, CD8<sup>+</sup>PD1<sup>+</sup>T%_3<sup>rd</sup>, CD8<sup>+</sup>TIGIT<sup>+</sup>T%_3<sup>rd</sup>, E_MDSC_3<sup>rd</sup>, CD8<sup>+</sup>CCR7<sup>+</sup>CD45RA<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>CTLA4<sup>+</sup>T%_3<sup>rd</sup>, CD4<sup>+</sup>TIM3<sup>+</sup>T%_3<sup>rd</sup>, PMN_MDSC_3<sup>rd</sup>, and M_MDSC_3<sup>rd</sup>) achieved high accuracy, with an AUC of 0.989 in the training set, 0.895 in the validation set, and 0.906 in the test set. …”
  16. 38696

    DataSheet1_Tengdan Capsule Prevents Hypertensive Kidney Damage in SHR by Inhibiting Periostin-Mediated Renal Fibrosis.pdf by Xiaoli Du (276582)

    Published 2021
    “…Kidney tissue sections were examined with (H&E), and Masson staining to evaluate the pathological effect of TDC on SHR’s kidneys. …”
  17. 38697

    DataSheet1_Tengdan Capsule Prevents Hypertensive Kidney Damage in SHR by Inhibiting Periostin-Mediated Renal Fibrosis.pdf by Xiaoli Du (276582)

    Published 2022
    “…Kidney tissue sections were examined with (H&E), and Masson staining to evaluate the pathological effect of TDC on SHR’s kidneys. …”
  18. 38698

    Figure S1 from PARP Inhibition Induces Synthetic Lethality and Adaptive Immunity in LKB1-Mutant Lung Cancer by Li-Li Long (14963775)

    Published 2023
    “…Results are presented as mean ± SEM; * P < 0.05; two-way ANOVA.</p>…”
  19. 38699

    Interaction between tombusvirus replication proteins and Pdc1 fermentation enzyme. by Wenwu Lin (7542863)

    Published 2019
    “…<i>benthamiana</i>. Top two panels: western blot analysis of the co-purified HA-tagged AtPdc1 (lane 2) with the Flag-affinity purified Flag-p33. …”
  20. 38700

    Differentially methylated regions interrogated for metastable epialleles associate with offspring adiposity by Stephanie W Waldrop (19653383)

    Published 2024
    “…</p> <p><b>Results & conclusion:</b> We identified two potential MEs, <i>ZFP57</i>, which associated with infant adiposity change and <i>B4GALNT4</i>, which associated with infancy and childhood adiposity change. …”