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Showing 821 - 840 results of 969 for search '(( learning method decrease ) OR ( ct ((values decrease) OR (largest decrease)) ))', query time: 0.57s Refine Results
  1. 821

    Table 1_Multi-omics identification and validation of oxidative phosphorylation–related hub genes in schizophrenia.docx by Yu Zhou (89766)

    Published 2025
    “…Hub genes were prioritized by machine learning algorithms (LASSO, SVM-RFE, and random forest). …”
  2. 822

    Table 1_Shengxue Busui Decoction activates the PI3K/Akt and VEGF pathways, enhancing vascular function and inhibiting osteocyte apoptosis to combat steroid-induced femoral head nec... by Manting Liu (11207258)

    Published 2025
    “…This study aims to investigate the effects of SBD on SONFH in rats, identifying its key active components and regulatory mechanisms using network pharmacology, bioinformatics, machine learning, and experimental validation.</p>Methods<p>Key active components and disease targets of SBD were identified through network pharmacology and bioinformatics. …”
  3. 823

    Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

    Published 2025
    “…Values imputed via this method are assigned a flag value of 2 in their respective _Flag column (e.g., PM10_Flag = 2). …”
  4. 824

    Supporting data for "Understanding eye movements during reading using hidden Markov models" by Weiyan Liao (9069716)

    Published 2024
    “…The results suggested that it is essential to understand these differences through XAI methods to facilitate LLM adoption.</p>…”
  5. 825

    Data Sheet 1_Changes in cortical brain activity after active break in preschoolers: MOVI-HIIT study.pdf by María Valdivieso-González (22225891)

    Published 2025
    “…</p>Results<p>EEG data revealing significant increases in Theta, Alpha1, and Alpha2 bands, suggesting enhanced relaxation, attentiveness, and readiness to learn. Conversely, Beta and Gamma bands showed reductions, especially in frontal, temporal, and parietal regions, indicating decreased stress and mental effort.…”
  6. 826

    Update on trimethylamine N-oxide (TMAO) as a piezolyte and cryoprotectant: its role in a depth limit for marine fishes and loss from hadal fish during capture by Paul Yancey (14354982)

    Published 2025
    “…We also found the same depth-TMAO matching in Arctic Skates (<i>Amblyraja hyperborea</i>; Yancey et al. 2018). Our methods of capture (nets and uninsulated baited traps with rapid ascent into warmer temperatures and decreasing pressure) apparently do not allow fish to regulate TMAO before their metabolisms shut down, but down-regulation might occur with a gentler retrieval method, e.g., slower and/or insulated from temperature changes. …”
  7. 827

    Data Sheet 1_Decanoic acid, an MCT dietary component, alleviates cognitive impairment, cellular senescence, and promotes autophagy in accelerated aging and neurotoxic mouse models... by Shreshta Jain (12274885)

    Published 2025
    “…</p>Results<p>Decanoic acid significantly improved learning and memory performance, enhanced antioxidant enzyme activity (superoxide dismutase, reduced glutathione, catalase), promoted autophagy by inhibiting mTOR, reduced cellular senescence (β-galactosidase-positive cells), and decreased amyloid-β toxicity. …”
  8. 828

    Table 5_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.xlsx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  9. 829

    Table 1_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.xlsx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  10. 830

    Table 3_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.xlsx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  11. 831

    Table 2_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.xlsx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  12. 832

    Table 4_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.xlsx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  13. 833

    Data Sheet 1_Unraveling metabolic reprogramming in ΔhnoxParacoccus denitrificans: a time-resolved metabolomics and AI-Powered proteome modeling approach.docx by Md Shariful Islam (9255063)

    Published 2025
    “…While constrained by limited sample size, these exploratory models showed biologically meaningful concordance with experimentally observed proteome shifts, highlighting both the promise and the current limitations of artificial intelligence (AI)-based methods in non-model microbial systems.</p>…”
  14. 834

    Data Sheet 1_Acute hypobaric hypoxia attenuates the anti-fatigue effects of pitolisant by downregulating the expression of organic cation transporter 1 and P-glycoprotein.docx by Gang Zhao (161405)

    Published 2025
    “…Furthermore, OCT1 protein expression decreased after 1 h and 1 day of HH exposure (P < 0.05), while P-gp expression decreased after 1 h (P < 0.05).…”
  15. 835

    Table 1_Promising neuroprotective potential of naringenin against trimethyltin-induced cognitive deficits and hippocampal neurodegeneration in rats.docx by Kimia Faryadras (21412760)

    Published 2025
    “…Introduction<p>Learning and memory deficits are clinical characteristics of Alzheimer’s disease (AD), often leading to diminished functionality. …”
  16. 836

    Data Sheet 1_Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.docx by Juan Wang (115708)

    Published 2025
    “…However, the specific alterations in EEG biomarkers associated with AD remain unclear when using a limited number of electrodes.</p>Methods<p>We studied pathological characteristics of AD using low-density EEG data collected from 26 AD and 29 healthy controls (HC) during both eye closed (EC) and eye opened (EO) resting conditions. …”
  17. 837

    Data Sheet 1_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional... by Yun Zhong (289887)

    Published 2024
    “…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”
  18. 838

    Table 2_Multi-omics analysis and evidence of IL1R1 as a potential biomarker for diabetes-associated intervertebral disc degeneration.xlsx by Meng Yi (7853249)

    Published 2025
    “…While type 2 diabetes mellitus (T2DM) is a recognized risk factor for IDD, the shared molecular mechanisms remain incompletely characterized.</p>Methods<p>This study employed integrated bioinformatics (WGCNA, machine learning - LASSO, RF, ANN) on human T2DM and IDD transcriptomic datasets, alongside scRNA-seq analysis of diabetic mouse nucleus pulposus (NP) tissue, to identify key drivers of diabetes-associated IDD.…”
  19. 839

    Table 1_Neonatal supplementation of oleamide during suckling ameliorates maternal postpartum sleep interruption-induced neural impairment and endocannabinoid dysfunction in early a... by Linxi Qian (555385)

    Published 2025
    “…</p>Results<p>Offspring exposed to MSI showed increased escape latency, travel distance, and poor performance in the MWM probe test, indicating impaired spatial learning and memory. MSI also decreased neurogenesis markers and increased neuroinflammatory markers in the hippocampus. …”
  20. 840

    Image 4_Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neur... by Yun Zhong (289887)

    Published 2024
    “…Objective<p>The early recurrence of hepatocellular carcinoma (HCC) correlates with decreased overall survival. Microvascular invasion (MVI) stands out as a prominent hazard influencing post-resection survival status and metastasis in patients with HBV-related HCC. …”