يعرض 1 - 20 نتائج من 26,307 نتيجة بحث عن '(((( a marker decrease ) OR ( ((all larger) OR (i large)) decrease ))) OR ( a large degree ))', وقت الاستعلام: 1.17s تنقيح النتائج
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    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif حسب Ying Ye (72583)

    منشور في 2025
    "…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …"
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    Prestroke Glucose Control and Functional Outcome in Patients With Acute Large Vessel Occlusive Stroke and Diabetes After Thrombectomy حسب Jun Young Chang (3716227)

    منشور في 2021
    "…</p> <p>CONCLUSIONS</p> <p>Prestroke glucose control with a target HbA1c of ≤ 7.0 may be beneficial for neurological recovery in patients with diabetes undergoing IAT for large vessel occlusive stroke, regardless of stroke subtype, bridging intravenous thrombolysis, occlusion site, degree of recanalization, and treatment period. …"
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    Data_Sheet_1_Immune and Neuroendocrine Trait and State Markers in Psychotic Illness: Decreased Kynurenines Marking Psychotic Exacerbations.docx حسب Livia De Picker (8319105)

    منشور في 2020
    "…Normalization of KA and 3-HK levels between admission and follow-up corresponded to a larger improvement of negative symptoms (r = 0.5, p < 0.030) A reverse association was found between relative improvement of SDST scores and decreasing KA levels (r = 0.5, p < 0.010).…"
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    Chemosensory sensilla of the <i>Drosophila</i> wing express a candidate ionotropic pheromone receptor حسب Zhe He (508742)

    منشور في 2019
    "…One gene, <i>Ionotropic receptor</i> (<i>IR</i>)<i>52a</i>, is coexpressed in neurons of these sensilla with <i>fruitless</i>, a marker of sexual circuitry; <i>IR52a</i> is also expressed in legs. …"
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    Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx حسب Hamish Clarke (8666307)

    منشور في 2020
    "…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …"
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