يعرض 81 - 91 نتائج من 91 نتيجة بحث عن '((((justifications OR justifications) OR purification) OR modifications) OR modification)', وقت الاستعلام: 0.06s تنقيح النتائج
  1. 81

    Image 1_Succinylation heterogeneity in lung adenocarcinoma: from prognostic model to KLK6-driven tumor microenvironment remodeling.tif حسب Jichang Liu (1263291)

    منشور في 2025
    "…Protein succinylation, a key post-translational modification, is implicated in tumor progression. However, its comprehensive landscape and clinical significance in LUAD remain largely unexplored.…"
  2. 82

    Image 7_Succinylation heterogeneity in lung adenocarcinoma: from prognostic model to KLK6-driven tumor microenvironment remodeling.tif حسب Jichang Liu (1263291)

    منشور في 2025
    "…Protein succinylation, a key post-translational modification, is implicated in tumor progression. However, its comprehensive landscape and clinical significance in LUAD remain largely unexplored.…"
  3. 83

    Survey of dysphagia protocol use (Carnaby et al., 2025) حسب Giselle D. Carnaby (22575401)

    منشور في 2025
    "…Using bolus/texture modification guidelines (i.e., International Dysphagia Diet Standardization Initiative Framework) is uncommon.…"
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    Figure 1 from Integrated Molecular Characterization of Patient-Derived Models Reveals Therapeutic Strategies for Treating CIC-DUX4 Sarcoma حسب Marianna Carrabotta (8193039)

    منشور في 2025
    "…CDS displayed a signature enriched for genes involved in embryonic stem cell development (Benporath_ES_1), <i>KRAS</i> signaling (Sweet_KRAS_TARGETS_DN), <i>WT1</i> target genes (Kim_WT1_TARGETS_UP), and chromatin modification (Mikkelsen_NPC_HCP_WITH_H3K27ME3). The enrichment score curve was obtained using GSEA software. …"
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    MARA: A Malware Analysis Reasoning Agent for Interpretable Android Malware Detection حسب 123 (11717522)

    منشور في 2025
    "…</p><h2> <b>Performance Highlights</b></h2><p dir="ltr">Across benchmark datasets (Drebin, AMD, CICMalDroid), MARA delivers:</p><ul><li><b>97.3% accuracy</b> on Drebin</li><li><b>96.4% accuracy</b> on AMD</li><li><b>94.7% accuracy</b> on CICMalDroid</li><li><b>Highest explanation quality</b> across clarity, semantic relevance, justification, and behavior-chain fidelity</li><li><b>Strong robustness</b> under obfuscation (renaming, packing, encryption)</li></ul><p dir="ltr">MARA consistently outperforms traditional static detectors, deep learning fusion models, and recent LLM-based malware analysis frameworks.…"