Showing 66,001 - 66,020 results of 102,753 for search '(( 5 ((((we decrease) OR (a decrease))) OR (nn decrease)) ) OR ( a step decrease ))', query time: 1.69s Refine Results
  1. 66001

    Image_4_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.TIFF by Utsav Gyawali (9313772)

    Published 2021
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  2. 66002

    Table_1_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.docx by Utsav Gyawali (9313772)

    Published 2021
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  3. 66003

    Table_1_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.docx by Utsav Gyawali (9313772)

    Published 2020
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  4. 66004

    Image_4_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.TIFF by Utsav Gyawali (9313772)

    Published 2020
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  5. 66005

    Image_1_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.TIFF by Utsav Gyawali (9313772)

    Published 2020
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  6. 66006

    Image_3_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.tif by Utsav Gyawali (9313772)

    Published 2021
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  7. 66007

    Image_3_Role of BNST CRFR1 Receptors in Incubation of Fentanyl Seeking.TIFF by Utsav Gyawali (9313772)

    Published 2020
    “…We gave intra-BNST R121919 or vehicle injections before testing during acute (Day 5) or protracted (Day 30) withdrawal. …”
  8. 66008
  9. 66009
  10. 66010

    Data Sheet 3_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…High-risk group was correlated with inferior prognosis of OS patients, and risk score model was correlated with TME. Finally, we discovered that expression of PDK2, PPARG, MORC4, SP110, TERT and MAP3K5 was significantly decreased in OS cells.…”
  11. 66011

    Image 1_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.jpeg by Zhaoguang Song (20778602)

    Published 2025
    “…High-risk group was correlated with inferior prognosis of OS patients, and risk score model was correlated with TME. Finally, we discovered that expression of PDK2, PPARG, MORC4, SP110, TERT and MAP3K5 was significantly decreased in OS cells.…”
  12. 66012

    Data Sheet 2_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…High-risk group was correlated with inferior prognosis of OS patients, and risk score model was correlated with TME. Finally, we discovered that expression of PDK2, PPARG, MORC4, SP110, TERT and MAP3K5 was significantly decreased in OS cells.…”
  13. 66013

    Data Sheet 1_Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.xlsx by Zhaoguang Song (20778602)

    Published 2025
    “…High-risk group was correlated with inferior prognosis of OS patients, and risk score model was correlated with TME. Finally, we discovered that expression of PDK2, PPARG, MORC4, SP110, TERT and MAP3K5 was significantly decreased in OS cells.…”
  14. 66014

    Data_Sheet_1_Operant Assessment of DMTP Spatial Working Memory in Mice.docx by Jasper Teutsch (7311953)

    Published 2019
    “…Its frequent and pharmacoresistent impairment in mental health disorders urges the development of rodent paradigms through back-translation of human WM tests, ideally avoiding the confounds of alternation-based assays. Here we show, that mice can acquire a delayed-matching-to-position (DMTP) operant spatial WM (SWM) paradigm that is akin to the combined attention and memory (CAM) task previously developed for rats, and that relies on a 5-choice wall [5-CSWM, 5-choice based operant testing of SWM (5-CSWM)]. …”
  15. 66015

    Experimental study on flexural creep of self-compacting concrete reinforced with vegetable and synthetic fibers by Amouri Chahinez (16561624)

    Published 2023
    “…Moreover, the plant fibers were previously subjected to two treatments separately; the first involves immersing them in a 5% alkaline solution of NaOH (HN and DN) and the second in a solution of the polymer styrene-butadiene rubber (SBR) (HS and DS). …”
  16. 66016

    DataSheet_2_Incomplete Plasmodium falciparum growth inhibition following piperaquine treatment translates into increased parasite viability in the in vitro parasite reduction ratio... by Annabelle Walz (8053880)

    Published 2024
    “…In this parasite isolate, incomplete growth inhibition translated to only a 2.5-fold increase in IC<sub>50</sub> but a dramatic decrease of parasite killing in the PRR assay. …”
  17. 66017

    Effect of cycloheximide on development of <i>tko</i><sup><i>25t</i></sup> and wild-type flies. by Esko Kemppainen (64909)

    Published 2016
    “…Males showed same trend (Panel C in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0145836#pone.0145836.s005" target="_blank">S5 Fig</a>).…”
  18. 66018

    Gene expression during immune response of <i>w</i> larvae measured by q-PCR. by Adam Bajgar (730380)

    Published 2015
    “…Heat map indicates a tendency of glycolytic genes to increase in immune cells and to decrease in fat body. …”
  19. 66019

    Supplementary material for 'Automatic pavement texture recognition using lightweight few-shot learning' by Shuo Pan (16488046)

    Published 2023
    “…Comparative experiments show that the lightweight model with GAP implemented on dense layers and one-dimensional convolution on convolutional layers reduced storage volume by 94% and training time by 99%, despite a 2.9% decrease in classification accuracy. Moreover, the model with only GAP implemented on dense layers achieved the highest accuracy at 93.5%, while reducing storage volume and training time by 83% and 6%, respectively.This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.…”
  20. 66020

    Measurement of threshold energies for optical pacing. by Matthew T. McPheeters (143584)

    Published 2017
    “…Error bars reflect the standard error (A) and standard deviation (B-D). In panels C and D, * indicates a statistically significance (p < 0.001) decrease compared to the smallest pulse width and spot size.…”