Showing 99,501 - 99,520 results of 102,013 for search '(( 12 men decrease ) OR ( 5 ((((mean decrease) OR (point decrease))) OR (a decrease)) ))', query time: 1.75s Refine Results
  1. 99501

    Microphotographs displaying acetylated histone H3 immunoreactivities in SDS mice in the RVM and C2 regions. by Kajita Piriyaprasath (20623760)

    Published 2025
    “…The number below the left coronal section of the RVM indicates the rostrocaudal distance from the bregma (in mm). Abbreviations: 4V: the fourth ventricle; GiA: nucleus reticularis gigantocellularis pars alpha; NRM: nucleus raphe magnus; RVM: rostral ventromedial medulla; C2: upper cervical spinal cord.…”
  2. 99502
  3. 99503
  4. 99504
  5. 99505
  6. 99506
  7. 99507
  8. 99508
  9. 99509
  10. 99510

    Cytochrome <i>GmGLY1</i> is Involved in the Biosynthesis of Glycitein in Soybean by Peipei Zhang (1360440)

    Published 2024
    “…<i>Glyma.11g108300</i> (<i>GmGLY1</i>), a gene that encodes a P450 family protein, was identified via sequence variation analysis, functional annotation, weighted gene coexpression network analysis (WGCNA), and expression profile analysis of candidate gene, and hairy roots transformation in soybean. …”
  11. 99511

    Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

    Published 2023
    “…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”
  12. 99512

    Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

    Published 2023
    “…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”
  13. 99513

    Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

    Published 2023
    “…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”
  14. 99514

    Experimental Study on Evaporation Characteristics of Light Cycle Oil Droplet under Various Ambient Conditions by Yushin Naito (10291068)

    Published 2021
    “…Experimental results show that the differences in droplet lifetime between fuel species become larger with decreasing ambient temperature. This is because the low volatile component made the evaporation rate outstandingly slow at a low ambient temperature. …”
  15. 99515

    Human Non-neutralizing HIV-1 Envelope Monoclonal Antibodies Limit the Number of Founder Viruses during SHIV Mucosal Infection in Rhesus Macaques by Sampa Santra (194595)

    Published 2015
    “…Here, we have studied the capacity of anti-Env monoclonal antibodies (mAbs) against either the immunodominant region of gp41 (7B2 IgG1), the first constant region of gp120 (A32 IgG1), or the third variable loop (V3) of gp120 (CH22 IgG1) to modulate <i>in vivo</i> rectal mucosal transmission of a high-dose simian-human immunodeficiency virus (SHIV-BaL) in rhesus macaques. 7B2 IgG1 or A32 IgG1, each containing mutations to enhance Fc function, was administered passively to rhesus macaques but afforded no protection against productive clinical infection while the positive control antibody CH22 IgG1 prevented infection in 4 of 6 animals. …”
  16. 99516

    Table_4_Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.XLSX by Hang Sun (202258)

    Published 2022
    “…Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. …”
  17. 99517

    Table_1_Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.XLSX by Hang Sun (202258)

    Published 2022
    “…Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. …”
  18. 99518

    Table_6_Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.XLSX by Hang Sun (202258)

    Published 2022
    “…Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. …”
  19. 99519

    Data_Sheet_1_Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.docx by Hang Sun (202258)

    Published 2022
    “…Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. …”
  20. 99520

    Table_3_Multi-dimensional investigation and distribution characteristics analysis of gut microbiota of different marine fish in Fujian Province of China.XLSX by Hang Sun (202258)

    Published 2022
    “…Additionally, similar distribution characteristics occurred in different gut parts of different fishes, with an increasing trend of Proteobacteria and Vibrionaceae abundance and a decreasing trend of Firmicutes and Bacillaceae abundance from the foregut to the hindgut. …”