Showing 6,341 - 6,360 results of 7,748 for search 'significantly ((((((we decrease) OR (greater decrease))) OR (nn decrease))) OR (linear decrease))', query time: 0.37s Refine Results
  1. 6341

    Glial 5-HT<sub>2a</sub> receptors are necessary and rate limiting for experience-dependent synaptic glomeruli pruning. by Vanessa Kay Miller (19775496)

    Published 2024
    “…The Or42a OSN innervation volume with glial <i>5-HT</i><sub><i>2A</i></sub><i>R</i> OE is very significantly decreased in comparison to the control EB condition (<i>p</i> = 4.64 × 10<sup>−10</sup>). …”
  2. 6342

    Table2_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  3. 6343

    Table4_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  4. 6344

    Table1_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  5. 6345

    DataSheet1_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.pdf by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  6. 6346

    Table5_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  7. 6347

    Table3_Causal relationship between plasma lipidome and four types of pancreatitis: a bidirectional Mendelian randomization study.xlsx by Runzhou Ma (19758996)

    Published 2024
    “…</p>Methods<p>Therefore, our study aimed to investigate the causal relationships between plasma lipidome and four types of pancreatitis by conducting a bidirectional, two-sample Mendelian randomization (MR) analysis. We obtained genetic variants associated with 179 lipid species from a Genome-wide association analysis of plasma lipidome. …”
  8. 6348

    Land use intensity classes standard. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  9. 6349

    Land use transfer matrix 1990-2020 (km<sup>2</sup>). by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  10. 6350

    Study area habitat quality LISA clustering map. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  11. 6351

    Spato-temporal changes in land use types. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  12. 6352

    Pattern indices of landscape levels. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  13. 6353

    Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

    Published 2025
    “…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”
  14. 6354

    Type level landscape index changes in 1990-2020. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  15. 6355

    Location map of the study area. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  16. 6356

    Data source. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  17. 6357

    Research Technology Flow Chart. by Chao Ma (207385)

    Published 2025
    “…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”
  18. 6358

    Data Sheet 1_Balancing conservation and community needs: challenges, threats, and socioeconomic disparities in Kakamega Forest, Kenya.docx by Ibrahim Osewe (21460079)

    Published 2025
    “…The electric fence was also perceived as a challenge by the local community, with significant differences between rich and poor households, reflecting the greater reliance of poorer households on provisioning ES.…”
  19. 6359

    Supplementary file 1_Effects of nitrogen addition on SOC in alpine grasslands of the Qinghai-Tibetan Plateau and adjacent mountain regions: a meta-analysis.docx by Yanhui Ye (22775894)

    Published 2025
    “…The addition of nitrogen decreased the soil pH by 0.20 units and the soil C/N ratio by 1.7%. …”
  20. 6360

    3D culture raw data by Yaojun Luo (20296512)

    Published 2024
    “…Notably, N<sup>6</sup>-methyladenosine (m<sup>6</sup>A), the predominant internal modification on mRNAs in eukaryotes, was significantly decreased in 3D cultured eWAT preadipocytes at day 1 post-treatment with the MDI cocktail. …”