Showing 27,281 - 27,300 results of 74,164 for search '(( 5 ((we decrease) OR (mean decrease)) ) OR ( 50 ((ng decrease) OR (a decrease)) ))', query time: 0.97s Refine Results
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    Datasheet1_Cardiotoxicity of CPX-351 in children and adolescents with relapsed AML: a Children's Oncology Group report.docx by Kasey J. Leger (18827263)

    Published 2024
    “…At baseline, centrally quantitated LVEF was <50% in 8 of 25 subjects (32%) with a median LVEF of 53.8% [48.0, 56.9]. …”
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    Table3_A Mendelian randomization study for drug repurposing reveals bezafibrate and fenofibric acid as potential osteoporosis treatments.docx by Xiao-Hua Li (1508020)

    Published 2023
    “…</p><p>Results: The first step MR analysis found that the higher expression of four genes (HMGCR, NPC1L1, PCSK9 and PPARG) was significantly associated with a lower LDL-C level. The genetically decreased LDL-C level mediated by the PPARG was significantly associated with increased FN-BMD (BETA = −1.38, p = 0.001) and LS-BMD (BETA = −2.07, p = 3.35 × 10<sup>−5</sup>) and was marginally significantly associated with FA-BMD (BETA = −2.36, p = 0.008) and reduced fracture risk (OR = 3.47, p = 0.008). …”
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    Covariance diagnosis of variables. by Haishi Yu (18847373)

    Published 2024
    “…Then, we build a spatial regression model using GeoDa software with lung cancer incidence as the dependent variable, five atmospheric environment factors—particulate matter 2.5 (PM2.5) concentration, temperature, atmospheric pressure, and elevation as explanatory variables, and four socio-economic characteristics as control variables to systematically analyze the influence and intensity of these factors on lung cancer incidence. …”
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    S1 Data - by Haishi Yu (18847373)

    Published 2024
    “…Then, we build a spatial regression model using GeoDa software with lung cancer incidence as the dependent variable, five atmospheric environment factors—particulate matter 2.5 (PM2.5) concentration, temperature, atmospheric pressure, and elevation as explanatory variables, and four socio-economic characteristics as control variables to systematically analyze the influence and intensity of these factors on lung cancer incidence. …”
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    Seven geographical divisions of China. by Haishi Yu (18847373)

    Published 2024
    “…Then, we build a spatial regression model using GeoDa software with lung cancer incidence as the dependent variable, five atmospheric environment factors—particulate matter 2.5 (PM2.5) concentration, temperature, atmospheric pressure, and elevation as explanatory variables, and four socio-economic characteristics as control variables to systematically analyze the influence and intensity of these factors on lung cancer incidence. …”
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    Presentation_1_Simulation Analysis of Impulsive Ankle Push-Off on the Walking Speed of a Planar Biped Robot.ZIP by Qiaoli Ji (4898485)

    Published 2021
    “…In this paper, the influence of impulsive ankle push-off on the walking speed of a biped robot is studied by simulation. When the push-off height of the ankle joint is 13 cm based on the ground (the height of the ankle joint of the swing leg) and the ankle push-off torque increases from 17 to 20.8 N·m, the duration of the swinging leg actually decreases from 50 to 30% of the gait cycle, the fluctuation amplitude of the COM (center of mass) instantaneous speed of the robot decreases from 95 to 35% of the maximum speed, and the walking speed increases from 0.51 to 1.14 m/s. …”
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    S1 Data - by Say Hiang Lim (18388938)

    Published 2024
    “…The most common PACS symptoms experienced were fatigue (27.9%), cough (25.1%), decreased physical strength (20.5%), and musculoskeletal pain (19.2%). …”
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    Table 1_Advances in sulodexide-based long-term anticoagulation for a myasthenia gravis patient with giant thymoma.docx by Zhou Liu (1506679)

    Published 2025
    “…<p>This case report describes a geriatric male patient with myasthenia gravis (MG) secondary to giant thymoma, presenting with progressive muscle weakness and ptosis. …”
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