Showing 99,921 - 99,940 results of 105,192 for search '(( 12 mean decrease ) OR ( 5 ((((step decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 2.23s Refine Results
  1. 99921
  2. 99922
  3. 99923
  4. 99924

    Defect Engineering of ZnO Nanoparticles for Bioimaging Applications by Josh E. Eixenberger (4349251)

    Published 2019
    “…Since the band gap significantly decreased and a relatively narrow visible emissions band was created by these defects, we investigated utilizing these new nZnO for bioimaging applications using traditional fluorescent microscopy techniques. …”
  5. 99925

    Image_13_Pedigree-based analysis in multi-parental diploid rose populations reveals QTLs for cercospora leaf spot disease resistance.png by Zena J. Rawandoozi (14337270)

    Published 2023
    “…The study used pedigree-based QTL analysis to dissect the genetic basis of CLS resistance using two multi-parental diploid rose populations (TX2WOB and TX2WSE) evaluated across five years in two Texas locations. A total 38 QTLs were identified across both populations and distributed over all linkage groups. …”
  6. 99926
  7. 99927
  8. 99928

    Table_3_TP53 Mutational Status-Based Genomic Signature for Prognosis and Predicting Therapeutic Response in Pancreatic Cancer.XLS by Feng Zhang (6548)

    Published 2021
    “…A five-gene TP53-associated signature was constructed in The Cancer Genome Atlas (TCGA) cohort by least absolute shrinkage and selection operator (LASSO)–Cox analysis and proven to be a robust prognostic predictor, which performed well in three independent Gene Expression Omnibus (GEO) validating cohorts. …”
  9. 99929

    Image_2_Pedigree-based analysis in multi-parental diploid rose populations reveals QTLs for cercospora leaf spot disease resistance.png by Zena J. Rawandoozi (14337270)

    Published 2023
    “…The study used pedigree-based QTL analysis to dissect the genetic basis of CLS resistance using two multi-parental diploid rose populations (TX2WOB and TX2WSE) evaluated across five years in two Texas locations. A total 38 QTLs were identified across both populations and distributed over all linkage groups. …”
  10. 99930

    Table_2_TP53 Mutational Status-Based Genomic Signature for Prognosis and Predicting Therapeutic Response in Pancreatic Cancer.XLS by Feng Zhang (6548)

    Published 2021
    “…A five-gene TP53-associated signature was constructed in The Cancer Genome Atlas (TCGA) cohort by least absolute shrinkage and selection operator (LASSO)–Cox analysis and proven to be a robust prognostic predictor, which performed well in three independent Gene Expression Omnibus (GEO) validating cohorts. …”
  11. 99931
  12. 99932
  13. 99933

    Image_1_Pedigree-based analysis in multi-parental diploid rose populations reveals QTLs for cercospora leaf spot disease resistance.png by Zena J. Rawandoozi (14337270)

    Published 2023
    “…The study used pedigree-based QTL analysis to dissect the genetic basis of CLS resistance using two multi-parental diploid rose populations (TX2WOB and TX2WSE) evaluated across five years in two Texas locations. A total 38 QTLs were identified across both populations and distributed over all linkage groups. …”
  14. 99934
  15. 99935
  16. 99936
  17. 99937

    <i>In Vitro</i> and <i>In Vivo</i> Anti-Schistosomal Activity of the Alkylphospholipid Analog Edelfosine by Edward Yepes (326743)

    Published 2014
    “…Edelfosine oral treatment also showed <i>in vivo</i> schistosomicidal activity and decreased significantly the egg burden in the liver, a key event in schistosomiasis.…”
  18. 99938

    Image_7_Pedigree-based analysis in multi-parental diploid rose populations reveals QTLs for cercospora leaf spot disease resistance.png by Zena J. Rawandoozi (14337270)

    Published 2023
    “…The study used pedigree-based QTL analysis to dissect the genetic basis of CLS resistance using two multi-parental diploid rose populations (TX2WOB and TX2WSE) evaluated across five years in two Texas locations. A total 38 QTLs were identified across both populations and distributed over all linkage groups. …”
  19. 99939
  20. 99940