Showing 99,401 - 99,420 results of 122,698 for search '(( 2 e decrease ) OR ( 5 ((((step decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 1.98s Refine Results
  1. 99401

    MeHg Suppresses PDGF-Mediated Signaling from the Nucleus Back to the Receptor by Zaibo Li (273729)

    Published 2013
    “…</p> <p>(D) Cells grown as in (A) showed lower levels of Akt (Thr 308) phosphorylation.</p> <p>(E) Cells grown as in (A) also showed decreased phosphorylation of PDGFRα (as detected with anti-PDGFRα(pY<sup>742</sup>) antibody). …”
  2. 99402

    A 21-year-old man with osteosarcoma of the left femur. by Min Wook Joo (3746446)

    Published 2017
    “…(C) A T2-weighted coronal MRI scan image taken after preoperative chemotherapy showing increased intra-tumoral ossification and decreased extraosseous tumor extension with better-defined margins compared to the initial image. …”
  3. 99403

    Histological analysis of the calluses. by Tero Puolakkainen (4247116)

    Published 2017
    “…At the four-week time point ActRIIB-Fc treatment greatly enhanced (H) bone volume/tissue volume and (J) trabecular numbers and decreased their (I) separation * = p<0.05 ** = p<0.01, *** = p<0.001. n = 6 for PBS 2 weeks, 6 for ActRIIB-Fc 2 weeks, 7 for PBS 4 weeks and 7 for ActRIIB-Fc 4 weeks.…”
  4. 99404

    Effect of the helical parameters. by Young-Joo Kim (1955062)

    Published 2016
    “…<p>Results are calculated using E<sub>c</sub> = 668 MPa, D = 2.4 nm, 1/AR = 0.6, S<sub>r</sub> = 1100 pN and Ф = 130°. …”
  5. 99405

    Permanent effects of neonatal novelty exposure on social competitive success and stress response system function (24 months of age). by Katherine G. Akers (377156)

    Published 2013
    “…Novel but not Home rats exhibited a significant reduction in wins from Day 1 to Day 2. E. Despite a significant difference between Novel and Home rats in wins on Day 1, there was no parallel difference in post-competition corticosterone (CORT) concentration. …”
  6. 99406

    Relative mRNA abundance of nine target genes after injecting siRNAs. by Hang Li (123039)

    Published 2013
    “…Larvae injected with siRNA with a random sequence were used as negative controls. Two housekeeping genes, G3PDH and E2F, were used as multiple internal controls. …”
  7. 99407
  8. 99408

    Secretion of soluble factors by MSCs grown in plate or collagen scaffold. by Iran Rashedi (4557406)

    Published 2017
    “…The basal level of prostaglandin (PG) E2 was slightly, but significantly, higher in patch-MSC cultures. …”
  9. 99409

    List of confirmed hit compounds. by Domokos Gerö (422086)

    Published 2013
    “…(Abbreviations: Bay 11-7085: (2<i>E</i>)-3-[[4-(1,1-dimethylethyl)phenyl]sulfonyl]-2-propenenitrile, MNS: 3,4-methylenedioxy-β-nitrostyrene, PABA potassium salt: para-aminobenzoic acid potassium salt, NF-κB: nuclear factor κB, HIV: human immunodeficiency virus, Src: sarcoma tyrosine kinase, Syk: Spleen tyrosine kinase).…”
  10. 99410
  11. 99411
  12. 99412

    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
    “…On day 3, AKI patients exhibited further distinct changes in NK cells and T cell activation/exhaustion markers. 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. 99413

    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
    “…On day 3, AKI patients exhibited further distinct changes in NK cells and T cell activation/exhaustion markers. 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. 99414

    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
    “…On day 3, AKI patients exhibited further distinct changes in NK cells and T cell activation/exhaustion markers. 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. 99415

    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
    “…On day 3, AKI patients exhibited further distinct changes in NK cells and T cell activation/exhaustion markers. 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. 99416

    Numerical integration of the rate equations of the MerB reaction mechanism by Pedro Silva (532059)

    Published 2015
    “…</p> <p> </p> <p>Syntax is:</p> <p> </p> <p>HgMerB_kinetics [initial concentration of organomercurial (optional)] [number of steps with timestep tightening] [initial_timestep][pH] [type of molecule] [how many seconds of kinetic information you want] [HgMerB (or free MerB) concentration] [concentration of the Hg-removing molecules tested] [barriers in kcal.mol-1 for the 38 reaction steps] [name of output file]</p> <p> </p> <p>Type of molecule is : 1 for MerA, 2 for dithiothreitol, 3 for GSH or other monothiols</p> <p>Notes on the algorithm:</p> <p> </p> <p>A) concentrations are output whenever :</p> <p>A1) concentration of HgMerB decreases by 1%, or</p> <p>A2) concentration of product increases by 1% of initial MerB concentration, or</p> <p>A3) 10^7 integration timesteps have elapsed since the last output (or 3*10^5, if less than 10^7 integration timestpes have elapsed since the beginning of the simulation)</p> <p> </p> <p>B) Integration timestep is scaled to ensure that the concentration of every intermediate does not increase more than 10% of its previous concentration. …”
  17. 99417

    Ultrasensitive Detection of Dopamine with Carbon Nanopipets by Keke Hu (1414000)

    Published 2019
    “…Recent attempts to determine neurotransmitters in single cells and vesicles have provided additional impetus for decreasing the probe dimensions. Here, we report two types of dopamine sensors based on carbon nanopipets (CNP) prepared by chemical vapor deposition of carbon into prepulled quartz capillaries. …”
  18. 99418

    Ultrasensitive Detection of Dopamine with Carbon Nanopipets by Keke Hu (1414000)

    Published 2019
    “…Recent attempts to determine neurotransmitters in single cells and vesicles have provided additional impetus for decreasing the probe dimensions. Here, we report two types of dopamine sensors based on carbon nanopipets (CNP) prepared by chemical vapor deposition of carbon into prepulled quartz capillaries. …”
  19. 99419

    Effects of TXA on tPA mediated fibrinolysis. by Tie Bo Wu (3417305)

    Published 2020
    “…<p>Modeling results show that Tranexamic Acid (TXA) affects tPA mediated fibrinolysis in a dose dependent fashion. As the concentration of TXA increases, the rate of fibrinolysis decreases. …”
  20. 99420

    The minimum ANTAR domain for RNA recognition. by Arati Ramesh (159304)

    Published 2012
    “…B) A representative EMSA is shown for association of ANTARcc with 5′-radiolabeled RNA (<i>eutP</i> 5′ leader region) on a non-denaturing polyacrylamide gel. …”