Showing 17,141 - 17,160 results of 18,177 for search 'significant ((((we decrease) OR (((greater decrease) OR (nn decrease))))) OR (a decrease))', query time: 0.82s Refine Results
  1. 17141

    Table 9_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xls by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  2. 17142

    Table 15_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  3. 17143

    Table 11_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  4. 17144

    Table 3_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xls by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  5. 17145

    Table 8_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  6. 17146

    Table 14_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

    Published 2025
    “…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”
  7. 17147

    Raw data DOI 10.3389fphar.2024.1483686.zip by Changlin Wang (19822068)

    Published 2024
    “…In terms of mechanism, JJJG significantly increased the levels of FT3 and FT4 and decreased TSH level in serum (P<0.05). …”
  8. 17148

    Impact of acute binge-like ethanol exposure during the third-trimester equivalent on subicular interneurons in mice by Katalina M. Lopez (21821714)

    Published 2025
    “…Ethanol exposure decreased instantaneous frequency evoked by 250–400 pA current injection in fast-spiking GABAergic interneurons only in female mice (250: <i>p</i> = .019, g = −1.08; 300–450: <i>p</i> = .038, g = −1.06 to- 1.18) but did not significantly affect spontaneous inhibitory postsynaptic currents (sIPSCs) evoked by interneuronal GABA release onto pyramidal neurons.…”
  9. 17149

    AI-Driven Neuroprosthetic: Brain-Controlled Prosthetic Arm with Sensory Feedback and Hybrid Brain-Computer Interface by Mahdi Yazdanpour (21001295)

    Published 2025
    “…<p dir="ltr">Limb loss significantly impacts the quality of life for over 2.3 million Americans and nearly 58 million people worldwide, often resulting in reduced mobility, decreased independence, and psychological challenges. …”
  10. 17150

    Data Sheet 1_Determination of nine prostaglandins in the arachidonic acid metabolic pathway with UHPLC-QQQ-MS/MS and application to in vitro and in vivo inflammation models.docx by Yufeng Huang (782683)

    Published 2025
    “…At the same time, the levels of these PGs decreased significantly (p < 0.01 vs. LPS-induced group) after the positive drug (dexamethasone) intervention. …”
  11. 17151

    Table 1_Guiren Runchang granules alleviate slow transit constipation in mice by modulating gut microbiota and short-chain fatty acids.docx by Xinfeng Bai (5049932)

    Published 2025
    “…Specifically, the relative abundance of the genera Alloprevotella and Muribaculum increased, while that of Prevotellaceae_NK3B31_group, Ruminococcus, and Lachnospiraceae_UCG-001 decreased. These microbiota changes were significantly correlated with SCFAs level, motility-related hormone concentrations, and defecation phenotype. …”
  12. 17152

    Table 1_Co-frequency or contrary? The effects of Qiwei Baizhu Powder and its bioactive compounds on mucosa-associated microbiota of mice with antibiotic-associated diarrhea.docx by Zeli Zhang (3422570)

    Published 2024
    “…Furthermore, both QWBZP decoction and QWBZP-TG decreased the levels of DAO, D-Lactate, sIgA, IL-6, and TNF-α in the AAD mice. …”
  13. 17153

    Source data.zip by Xiaoyan Pan (21158717)

    Published 2025
    “…In vivo, melatonin significantly increased MT1R (melatonin receptor 1A) expression in BPA-treated mouse testicular cells and the content of catalase, superoxide dismutase 2, and glutathione, while decreasing the level of malondialdehyde. …”
  14. 17154

    Data Sheet 1_Machine learning assisted breathomic approach for early-stage thoracic cancer detection.docx by Zhenguang Chen (518931)

    Published 2025
    “…Additionally, in a cohort of 58 cancer patients, model-predicted risk significantly decreased post-surgery (p < 0.01), indicating a strong correlation with disease burden reduction.…”
  15. 17155

    Boron-doped diamond MOSFETs operating at temperatures up to 400°C by Jiangwei Liu (2524750)

    Published 2025
    “…Conversely, the on-resistance decreases significantly from 1469.8 kΩ mm to 16.5 kΩ mm. …”
  16. 17156

    C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
  17. 17157

    YOLOv8n detection results diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
  18. 17158

    YOLOv8n-BWG model structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”
  19. 17159

    data.zip by Zhizhang Dong (21158474)

    Published 2025
    “…Compared with the control group, the thickness of retina in the experimental group was significantly reduced (t=5, P=0.0075), the number of retinal pigment epithelium was statistically decreased (t=4.243, P=0.0132), and the pyrolytic related proteins NLRP3, Caspase-1, GSDMD, IL-1β and IL-18 were strongly red positive in retinal pigment epithelium (P<0.05). …”
  20. 17160

    BiFormer structure diagram. by Yaojun Zhang (389482)

    Published 2025
    “…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”