Showing 1,501 - 1,520 results of 15,870 for search '(( six ((we decrease) OR (a decrease)) ) OR ( i ((largest decrease) OR (larger decrease)) ))', query time: 0.90s Refine Results
  1. 1501
  2. 1502

    Synthesis and Stability Phase Diagram of Topological Semimetal Family LnSb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> by Tyger H. Salters (20381925)

    Published 2024
    “…The presence of structurally related LnTe<sub>3</sub> in samples suggests that stability is limited by the size of Ln, due to increasing compressive strain along the layer stacking axis with decreasing size. Finally, we demonstrate that late Ln can be stabilized in LnSb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> via substitution into larger Ln members, synthesizing La<sub>1–<i>y</i></sub>Ho<sub><i>y</i></sub>Sb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> as a proof of concept.…”
  3. 1503

    Synthesis and Stability Phase Diagram of Topological Semimetal Family LnSb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> by Tyger H. Salters (20381925)

    Published 2024
    “…The presence of structurally related LnTe<sub>3</sub> in samples suggests that stability is limited by the size of Ln, due to increasing compressive strain along the layer stacking axis with decreasing size. Finally, we demonstrate that late Ln can be stabilized in LnSb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> via substitution into larger Ln members, synthesizing La<sub>1–<i>y</i></sub>Ho<sub><i>y</i></sub>Sb<sub><i>x</i></sub>Te<sub>2–<i>x</i>–δ</sub> as a proof of concept.…”
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  12. 1512

    DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP by Gabriella Gálffy (177759)

    Published 2024
    “…Up until the COVID-19 pandemic, lung cancer incidence was decreasing by 3.18% (2.1%–4.3%) yearly in men, while there was no significant decrease in women. …”
  13. 1513

    Image8_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  14. 1514

    Image10_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  15. 1515

    Table1_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.DOCX by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  16. 1516

    Image9_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  17. 1517

    Image5_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  18. 1518

    Image12_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  19. 1519

    Image4_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  20. 1520

    Image7_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”